Income inequality and population health: An analysis of panel data for 21 developed countries, 1975-2006
Roberta Torre and
Mikko Myrskylä
Population Studies, 2014, vol. 68, issue 1, 1-13
Abstract:
The relative income-health hypothesis postulates that income distribution is an important determinant of population health, but the age and sex patterns of this association are not well known. We tested the relative income-health hypothesis using panel data collected for 21 developed countries over 30 years. Net of trends in gross domestic product per head and unobserved period and country factors, income inequality measured by the Gini index is positively associated with the mortality of males and females at ages 1-14 and 15-49, and with the mortality of females at ages 65-89 albeit less strongly than for the younger age groups. These findings suggest that policies to decrease income inequality may improve health, especially that of children and young-to-middle-aged men and women. The mechanisms behind the income inequality-mortality association remain unknown and should be the focus of future research.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://hdl.handle.net/10.1080/00324728.2013.856457 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rpstxx:v:68:y:2014:i:1:p:1-13
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rpst20
DOI: 10.1080/00324728.2013.856457
Access Statistics for this article
Population Studies is currently edited by John Simons, Francesco Billari, James J. Brown, John Cleland, Andrew Foster, John McDonald, Tom Moultrie, Mikko Myrsklä, Alice Reid, Wendy Sigle-Rushton, Ronald Skeldon and Frans Willekens
More articles in Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().